AIML in Engineering Course
Gain expertise in AI/ML applications for engineering using genuine pump datasets. Cover sensor mechanics, feature engineering, predictive maintenance modelling, implementation techniques, and root-cause investigations to minimise outages, enhance dependability, and transform factory data into assured engineering choices.

from 4 to 360h flexible workload
certificate valid in your country
What will I learn?
This AI/ML in Engineering Course teaches you to convert raw sensor data into solid predictive maintenance choices. You'll master pump basics, failure patterns, feature creation, time-series models, and evaluation methods suited for actual industrial sites. It also includes deployment strategies, risk handling, model explanations, and root cause investigations to develop effective, proven AI/ML systems that boost equipment availability and reduce servicing expenses.
Elevify advantages
Develop skills
- Deploy sturdy AI/ML models in factories handling noise, data shifts, and limited failure data.
- Create sensor features for pump condition monitoring with time, frequency, and multi-sensor inputs.
- Develop and check predictive maintenance models using time-sensitive assessments.
- Convert model results into servicing tasks, warnings, and engineering choices.
- Conduct clear root cause studies connecting ML features to physical breakdowns.
Suggested summary
Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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